DocumentCode
264438
Title
Skyline Travel Routes: Exploring Skyline for Trip Planning
Author
Wan Ting Hsu ; Yu Ting Wen ; Ling Yin Wei ; Wen Chih Peng
Author_Institution
Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Volume
2
fYear
2014
fDate
14-18 July 2014
Firstpage
31
Lastpage
36
Abstract
In this paper, given a spatial range Q and a set of query points specified by users, the goal of this paper is to return the travel routes that fulfill two requirements: 1.) travel routes should contain all those query points specified, and 2.) travel routes should be within the spatial range Q. Furthermore, we claim that each query point may have its proper visiting time. As such, the travel routes should go through these query points at their corresponding proper visiting time. To avoid some redundant information in the travel routes, we utilize the skyline concept to retrieve travel routes with more diversity. Specifically, in our paper, we consider some factors, such as the visiting time information of POIs and the set of query points, in retrieving travel routes. These factors could be mapped into dimensional spaces. Then, each travel route is viewed as a data point in the dimensional space. Thus, skyline data points (referred to as skyline travel routes) are returned as the query result. Skyline travel routes could provide more diversity in the query result of trip route recommendations. To evaluate our proposed methods, we conducted extensive experiments on real datasets. The experimental results show that skyline travel routes indeed provide more diversity in the query result. In addition, we evaluate the efficiency of retrieving skyline travel routes.
Keywords
data mining; planning; query processing; recommender systems; travel industry; POIs; dimensional space mapping; query points; skyline data points; skyline travel route retrieval; trajectory pattern mining; trip planning; trip route recommendations; visiting time information; Aggregates; Buildings; Databases; Global Positioning System; Planning; Space exploration; Trajectory; route skyline query; trajectory pattern mining; travel route planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Data Management (MDM), 2014 IEEE 15th International Conference on
Conference_Location
Brisbane, QLD
Type
conf
DOI
10.1109/MDM.2014.64
Filename
6916872
Link To Document